US 11,870,528 B2
Machine learning in beam selection
Kalle Petteri Kela, Kaarina (FI); Teemu Mikael Veijalainen, Helsinki (FI); and Hans Thomas Höhne, Helsinki (FI)
Assigned to NOKIA TECHNOLOGIES OY, Espoo (FI)
Filed by NOKIA TECHNOLOGIES OY, Espoo (FI)
Filed on Apr. 20, 2022, as Appl. No. 17/725,508.
Prior Publication US 2023/0344496 A1, Oct. 26, 2023
Int. Cl. H04B 7/06 (2006.01); H04W 24/10 (2009.01); H04B 17/318 (2015.01)
CPC H04B 7/0639 (2013.01) [H04B 7/0695 (2013.01); H04B 17/318 (2015.01); H04W 24/10 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus, comprising:
at least one processor; and
at least one memory including computer program code,
wherein the at least one memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to
provide one or more inputs regarding a plurality of beams to a machine learning model; and
obtain at least one output value regarding the plurality of beams from the machine learning model,
wherein the machine learning model comprises a data radio bearer specific machine learning model, a data radio bearer group specific machine learning model, or a model trained to output selectively data radio bearer specific values or data radio bearer group specific values.